An Approach to Analysis on Covid-19 Data Through Web Scraper and Voice Assistant – A Survey

Corona virus pandemic has been recognized as a global threat across the world and many methods were adopted for the prevention of this disease. This pandemic has caused global and economic disruption which resulted in numerous Covid-19 cases across the world. To know the number of cases and keep a track of this pandemic situation we need to collect the live data sets from the worldwide corona virus records. This can be achieved by the technique of Web Scraping which enables the extraction of live data sets from a specific platform. It facilitates the user to access the World Wide Web wherein specific data is gathered, copied from the web and then it is stored in a central local database then provides ways to retrieve and analyse the data. This estimate is to design a platform where you can obtain the live data sets and have a compact knowledge about the present scenario. This is an elementary approach to scrap the live data sets through a user interface from the Worldometer Covid-19 data set with the aid of a Google voice assistant. To implement this scheme, we use the Python programming language. To effectuate this task, we acquire the process of making API calls to the Worldometer Covid-19 website and simultaneously we will make use of the regular expressions to extract the data from the web page. However, this action includes a series of tactics that has to be recognized analysed and accomplished sequentially. Initially the input is given by the user in the form of speech. Then the required contents are searched and matched with the user’s input. If the contents match then with the help of a Google voice assistant result is obtained which is the output in turn.